We are the maker of Maze, one of the first open-source frameworks for applied Reinforcement Learning.
enliteAI is currently developing Detekt, a modern geospatial data platform supporting the entire mobile mapping and asset management life cycle.
We are an active member of the pan-European research cooperation ELLIS together with, among others, the LIT AI Laboratory and Oxford University.
We provide corporate-level AI transformation programs, from identifying areas where AI provides the highest leverage up to entirely new business models.
Through our own AI research we solve today's business problems with tomorrow's AI methods - from Reinforcement Learning to Generative Adversarial Networks.
We support our clients through the entire implementation process - from developing proof of concepts and prototypes up to enterprise grade scaling and roll-out.
Maze is an applied Reinforcement Learning (RL) platform developed by enliteAI. It enables AI-based optimization for a wide range of industrial decision processes and makes Reinforcement Learning technology accessible to industry and developers.
We focus on the complete development life cycle of RL applications ranging from simulation engineering to agent development, training, and deployment.
Detekt is a modern geospatial data platform supporting the entire mobile mapping and asset management life cycle. It works with spatial data from vehicles, drones or portable recording devices.
The application is manufacturer-independent and supports GIS data, point clouds as well as georeferenced images with a wide variety of localization features.
Depending on the data source and use case, each detected object can be classified, measured, and its exact position determined.
Current use cases are road damages, road markings and traffic sign detection.
